Tarot Down Detector – a status page as a tarot reading

Hacker News

Hi HN — this is a dumb late night 2 am thing. Pass it any status page URL as a query param (?status=...) and it renders the current state as a tarot card reading. e.g "Page of Cups — a young dreamer in flowing robes holds a cup from which a small fish has emerged, staring at it with undisguised wonder. Claude is up and something creative has arrived: a new feature, a surprising response, a magical bug that turned out to be a feature. Hold it gently." Built as a side-quest off my actual tarot app (artemistarot.app which is an app that combines tarot + CBT). Happy to answer questions about either.

Visit product View on Hacker NewsApr 24, 2026

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3points

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, new · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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